arXiv:2602.15857v1 Announce Type: new Abstract: The analysis of public opinion from multiple heterogeneous sources presents significant challenges due to structural differences, semantic variations, and platform-specific biases. This paper introduces a novel Collaborative Reasoning and Adaptive Fusion (CRAF) framework that systematically integrates traditional feature-based methods with large language models (LLMs) through a structured multi-stage reasoning mechanism. Our approach features four key innovations: (1) a cross-platform collaborative attention module that aligns semantic representations while preserving source-specific characteristics, (2) a hierarchical […]

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Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder whose neuroimaging-based diagnosis remains challenging due to complex time-varying disruptions in brain connectivity. Functional MRI (fMRI) provides a powerful non-invasive modality for identifying functional alterations. Existing deep learning (DL) studies employ diverse neuroimaging features; however, static functional connectivity remains widely used, whereas dynamic connectivity modeling is comparatively underexplored. Moreover, many DL models lack interpretability. In this work, we propose D-GATNet, an interpretable temporal graph-based framework for automated ADHD […]

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There is a particular failure mode that afflicts intelligent, well-informed people more than anyone else. It is not ignorance; they have the data. It is not a lack of analytical skill; they can follow the arguments. It is something more structural: an inability to feel how fast things are actually moving, even while holding the evidence in both hands. It has no clinical name, but it deserves one. Call it human amnesia. Not the clinical kind, but the […]

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I’ve been running a long-term experiment: can a single person, using neural networks, develop and maintain a massive codebase that matches banking solutions in reliability, while shipping features at the speed of a pet project? These are, of course, hardly compatible things, but my goal is to at least walk the path of a startup with 0 employees and tight deadlines. Currently, I’m working on a pet project, called Cynosure — an AI runtime in Golang aimed at […]

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In recent years, Non-Orthogonal Multiple Access (NOMA) system has emerged as a promising candidate for multiple access frameworks due to the evolution of deep machine learning, trying to incorporate deep machine learning into the NOMA system. The main motivation for such active studies is the growing need to optimize the utilization of network resources as the expansion of the internet of things (IoT) caused a scarcity of network resources. The NOMA addresses this need by power multiplexing, allowing […]

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Young Teilhard spots a crisis: earnest souls are abandoning Christianity not from weakness, but from and the search for something grander. His remedy? Reveal the “Soul of the World”: that cosmic fabric where God touches matter, where Christ meets the universe’s longing. Faith mustn’t float in clouds; it must sanctify earth itself.

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arXiv:2601.08986v1 Announce Type: new Abstract: We study the pointwise maximal leakage (PML) envelope of the Gaussian mechanism, which characterizes the smallest information leakage bound that holds with high probability under arbitrary post-processing. For the Gaussian mechanism with a Gaussian secret, we derive a closed-form expression for the deterministic PML envelope for sufficiently small failure probabilities. We then extend this result to general unbounded secrets by identifying a sufficient condition under which the envelope coincides with the Gaussian case. […]

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arXiv:2606.28854v1 Announce Type: new Abstract: The common factor analytic model is related to Helmholtz and Boltzmann machines, can be conceived as a linear autoencoder, or can be thought of as a single-hidden-layer generative neural network. We thus consider it a basal generative representation learner that can be used as a minimal model for studying the foundational characteristics of (deep) generative model architectures. We focus on the fundamental problem of indeterminacy in latent factor projections. This indeterminacy implies that, […]

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